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Python for Data Science NPTEL Week 2 Assignment Answers

Are you looking for the Python for Data Science NPTEL Week 2 Assignment Answers 2024? You’ve come to the right place! This guide offers detailed solutions to the Week 2 assignment questions, helping you solidify your understanding of Python programming and its applications in data science.

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Python for Data Science Nptel Week 2 Assignment Answers (JULY-DEC 2024)

Q1. Which of the following object does not support indexing? tuple list dictionary set

Answer: set

Q2. Given a NumPy array, arr = np.array([[[1, 2, 3], [4, 5, 6], [7, 8, 9]]]), what is the output of the command, print(arr[0][1])?

[[1 2 3] [4 5 6] [7 8 9]] [1 2 3] [4 5 6] [7 8 9]

Answer: [4 5 6]

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These are Python for Data Science Nptel Week 2 Assignment Answers

Q3. What is the output of the following code?

[2, 3, 4, 5] [0 1 2 3] [1, 2, 3, 4] Will throw an error: Set objects are not iterable.

Answer:[1, 2, 3, 4]

Q4. What is the output of the following code?

import numpy as np arr = np.array (np.arange(0, 15)) print(arr.reshape (3,5))

Q5. Which of the following code gives output My friend’s house is in Chennai?

Answer: a),d)

Q6. Let t1 = (1, 2, “tuple”, 4) and t2 = (5, 6, 7). Which of the following will not give any error after the execution?

a) t1.append(5)

b) x=t2[t1[1]]

c) t3=t1+t2

d) t3=(t1,t2)

e) t3=(list(t1),list(t2))

Answer: b),c),d),e)

Q7. Let d= {1 : “Pyhton”, 2 : [1, 2, 3]}. Which among the following will not give the error after the execution?

a) d[2].append(4)

c) d[“one”]=1

d) d.update(‘one′:2)

Answer: a),c),d)

Q8. Which of the following data type is immutable? list set tuple dictionary

Answer: tuple

Q9. student = {‘name’: ‘Jane’, ‘age’: 25, ‘courses’: [‘Math’, ‘Statistics’]} Which among the following will return {‘name’: ‘Jane’, ‘age’: 26, ‘courses’: [‘Math’, ‘Statistics’], ‘phone’: ‘123-456’} a) student.update({‘age’ : 26}) b) student.update({‘age’ : 26, ‘phone’: ‘123-456’}) c) student[‘phone’] = ‘123-456’ d) student.update({‘age’ : 26}) e) None of the above

Answer: b),c)

Q10.What is the output of the following code?

[‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’] [‘m’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘M’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘m’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]

Answer: [‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]

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Python for Data Science NPTEL Week 2 Assignment Answers (JAN-APR 2024 )

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Q2. Given a NumPy array, arr = np.array([[[1, 2, 3], [4, 5, 6], [7, 8, 9]]]), what is the output of the command, print(arr[0][1])? a. [[1 2 3] [4 5 6] [7 8 9] b. [1 2 3] c. [4 5 6] d. [7 8 9]

Answer: c. [4 5 6]

Q3. What is the output of the following code? [2, 3, 4, 5] [0 1 2 3] [1, 2, 3, 4] Will throw an error: Set objects are not iterable.

Answer: [1, 2, 3, 4]

Q4. What is the output of the following code? a) b) c) d)

Answer: c) [[0 1 2 3 4 [ 5 6 7 8 9] [10 11 12 13 14]]

Q5. Which of the following code gives output My friend’s house is in Chennai? a) b) c) d)

Answer: a), d) a) place = ‘Chennai’ print (“My friend’s house is in {}”. format (place) ) d) print (“My friend’s house is in {}”. format (“Chennai”) )

Q6. Let t1=(1,2,“tuple”,4) and t2=(5,6,7). Which of the following will not give any error after the execution? t1.append(5) x=t2[t1[1]] t3=t1+t2 t3=(t1,t2) t3=(list(t1), list(t2))

Answer: b, c, d, e

Q7. Let d={1:“Pyhton”,2:[1,2,3]}. Which among the following will not give the error after the execution? d[2].append(4) x=d[0] d[“one”]=1 d.update({‘one’ : 2})

Answer: a, c, d

Q9. student = {‘name’: ‘Jane’, ‘age’: 25, ‘courses’: [‘Math’, ‘Statistics’]} Which among the following will return {‘name’: ‘Jane’, ‘age’: 26, ‘courses’: [‘Math’, ‘Statistics’], ‘phone’: ‘123-456’}? a. student.update({‘age’ : 26}) b. student.update({‘age’ : 26, ‘phone’: ‘123-456’}) c. student[‘phone’] = ‘123-456’ student.update({‘age’ : 26}) d. None of the above

Answer: a, b, c

Q10. What is the output of the following code? [‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’] [‘m’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘M’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘m’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]

Answer: [‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]

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Python for Data Science NPTEL Week 2 Assignment Answers (JAN-APR 2023 )

Course Name: Python for Data Science

Q1. What will be the output of the following:

a. [[2 6 10] [4 8 12]] b. [[2 4 6] [8 10 12]] c. [[2 4] [6 8] [10 12]] d. [[2 8] [4 10] [6 12]]

Answer: b. [[2 4 6] [8 10 12]]

Q2. Let t1 = (1, 2, “tuple”, 4) and t2 = (5, 6, 7). Which of the following will not give any error after the execution? a. t1.append(5) b. x = t2[t1[1]] c. t3 = t1 + t2 d. t3 = (t1, t2) e. t3 = (list(t1), list(t2))

Answer: a, b, c, d, e

Q3. Let d1 = {1 : “Pyhton”, 2 : [1, 2, 3]}. Which among the following will not give the error after the execution? a. d1[2].append(4) b. x = d1[0] c. d1[“one”] = 1 d. d1.update({‘one’ : 2})

Q4. S1 = {1, 2, 3} S2 = {5, 6, 3} S1.add(4) S2.add(“4”) What will be the output of S1 − S2? a. {1, 2, 3} b. {1, 2, 3, 4} c. {1, 2, “4”} d. {1, 2, 4}

Answer: d. {1, 2, 4}

Q5. S1 = “Hello” and S2 = “World”. Which of the following will not return “Hello world”? a. S1 + “ ” + S2 b. S1[0 :] + “ ” + S2[0 :] c. “{} {}”.format(S1, S2) d. S1[: −1] + “ ” + S2[: −1]

Answer: d. S1[: −1] + “ ” + S2[: −1]

Q6. Given a NumPy array, arr = np.array([[1, 9, 10], [3, 7, 6], [12, 8, 0]]), find the correct command from the following options to get an output array as [16 24 16]? a. arr[1: 2] b. np.sum(arr, axis = 0) c. np.sum(arr, axis = 1) d. np.sum([[1, 9, 10], [3, 7, 6], [12, 8, 0]])

Answer: b. np.sum(arr, axis = 0)

Q7. mat = np.matrix(“5, 9, 10; 2, 5, 4; 1, 9, 8; 2, 6, 8”) mat1 = np.matrix(“1, 2, 3, 4”) mat2 = np.insert(mat, 1, mat1, axis= 1) print(mat2) What will be the output of the above command? a. [[5 2 1 2] [1 2 3 4] [9 5 9 6]] [10 4 8 8]] b. [[1 2 3 4] [5 2 1 2] [9 5 9 6]] [10 4 8 8]] c. [[5 1 9 10] [2 2 5 4] [1 3 9 8]] [2 4 6 8]] d. It will give an error.

Answer: d. It will give an error.

Q8. student = {‘name’: ‘Jane’, ‘age’: 25, ‘courses’: [‘Math’, ‘Statistics’]} Which among the following will return {‘name’: ‘Jane’, ‘age’: 26, ‘courses’: [‘Math’, ‘Statistics’], ‘phone’: ‘123-456’} a. student.update({‘age’ : 26}) b. student.update({‘age’ : 26, ‘phone’: ‘123-456’}) c. student[‘phone’] = ‘123-456’ d. student.update({‘age’ : 26}) e. None of the above

Answer: b, c

Q9. c = np.arange(start = 1, stop = 20, step = 3). What is c[5]? a. 13 b. 16 c. 15 d. 12

Answer: b. 16

Q10. Which of the following data type is immutable? a. list b. set c. tuple d. dictionary

Answer: c. tuple

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Python for Data Science NPTEL Week 2 Assignment Answers (JULY-DEC 2022 )

Q1. Which of the following function(s) can be used to resize a NumPy array in Python from the given options. a. array.shape(reshape) b. array.reshape(shape) c. numpy.reshape(array, shape) d. numpy.reshape(shape, array)

Answers: b, c

2. Create the tuples given below: tuple_1 = (1,5,6,7,8) tuple_2 = (8,9,4)

Identify which of the following options does not work on the given tuples

a. sum(tuple_1) b. len(tuple_2) c. tuple_2 + tuple_1 d. tuple_1[3] = 45

Answers:   d. tuple_1[3] = 45

3. Create a sequence of numbers from 15 to 25 and increment by 4. What is the index of the element 19? a. 3 b. 2 c. 0 d. 1

Answers:   d. 1

4. Consider a variable job = “chemist”. Which of the following expression(s) will retrieve the last character from the string?

a. job[7] b. job[len(job) – 1] c. job[5:6] d. job[- 1]

5. Given a list, ls = [1, 2, 3, 3, 2, 3, 1, 4, 5, 6, 5, 6, 3, 2, 1, 1, 1, 7, 8, 9, 7, 8, 9, 7, 8, 9, 7, 8, 9, 10, 10, 1, 2, 3, 9, 10], which of the following would be the most efficient method in determining the unique elements present in ls? a. By converting ls into a NumPy array, and applying relevant methods b. By converting ls into a set c. By iterating through ls, and doing appropriate manipulations d. None of the above

Answers:   b. By converting ls into a set

6. Which of the following data structure(s) can be used as a key while creating a dictionary? a. list b. str c. set d. None

Answers:   b. str

7. Given a dictionary, states = {‘Tamil Nadu’: ‘TN’, ‘Karnataka’: ‘KA’, ‘Kerala’: ‘KL’, ‘Maharashtra’: ‘MH’}, which of the following command(s) is used to remove the key-value pair ‘Karnataka’: ‘KA’ from it? a. del states[‘Karnataka’] b. states.popitem(‘Karnataka’) c. states.pop(‘Karnataka’) d. del states[‘Karnataka’:’KA’]

Answers:   c. states.pop(‘Karnataka’)

8. Which of the following is valid to declare a string literal Shin’ichi to a variable? a. “Shin’ichi” b. ‘Shin”ichi’‘ c. Shin’ichi’ d. None of the above

Answers:   a. “Shin’ichi”

9. Which of the following commands can be used to create a NumPy array? a. np.array() b. np.zeros() c. np.empty() d. All of the above

Answers:   d. All of the above

10. Given a NumPy array, arr = np.array([[5,9,10], [7,2,6], [12,8,0]]), find the correct command from the following options to get an output array as [24 15 20]?

a. np.sum(arr) b. np.sum(arr, axis = 0) c. np.sum(arr, axis = 1) d. None of the above

Answers:   c. np.sum(arr, axis = 1)

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Python For Data Science week 3 Answers

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NPTEL Python for Data Science Assignment 3 Answers 2023

NPTEL Python for Data Science Assignment 3 Answers 2023:-  All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

NPTEL Python For Data Science Week 3 Assignment Answer 2023

1. Which of the following is the correct approach to fill missing values in case of categorical variable?

• None of the above

2. Of the following set of statements, which of them can be used to extract the column Type as a separate dataframe?

• df_cars[[‘Type’]]
• df_cars.iloc[[:, 1]
• df_cars.loc[:, [‘Type’]]

3. The method df_cars.describe() will give description of which of the following column?

• Price (in lakhs)
• All of the above

4. Which pandas function is used to stack the dataframes vertically?

• pd.concat()

5. Which of the following are libraries in Python?

6. Which of the following variable have null values?

• Review Date

7. Which of the following countries have maximum locations of cocoa manufacturing companies?

8. After checking the data summary, which feature requires a data conversion considering the data values held?

• Review date
• Bean origin

9. What is the maximum rating of chocolates?

• [bool, int, float, float, str]
• [str, int, float, float, str]
• [bool, int, float, int, str]
• [bool, int, int, float, str]

NPTEL Python for Data Science Assignment 3 Answers 2022 [July-Dec]

1. Choose the appropriate command(s) to filter those booking details whose  reservation_status  are a No-show? a. data_hotel_ns datahotel. loc[data_hotel.reservation_status=’No-Show’] b. data_hotel_ns = data_hotel[ data _hotel.reservation_status = “No-Show’] c. data hotel_ns = data_hotel.reservation_status.loc[data_hotel . isin([‘No-Show’])] d. data_hotel_ns = data_hotel.loc [data hotel.reservation_status.isin([ No-Show’])]

2. From the same data, find how many bookings were not canceled in the year 2017? a. 9064 b. 6231 c. 9046 d. None of the above

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3. From the total bookings that were made in 2017 and not canceled , which month had the highest number of repeated guests? a. July b. February c. January d. None of the above

4. Which of the following commands can be used to create a variable Flag, and set the values as Premium when the  rating  is equal to or greater than 3.25, and otherwise as Regular? a. dt_cocoa[°Flag’] = [“Premium” if x 3.25 else “Regular” for x in dt_cocoa[‘Rating’ ]] b. dt_cocoa[“Flag’] = [“Premium” if x 3.25 else “Regular” for x in dt_cocoa[ ‘ Rating ‘]] c. dt_cocoa[“Flag”] = np.where(dt_cocoa[ “Rating”] < 3.25, “Regular”, “Premium”) d. None of the above

5. Which instruction can be used to impute the missing values in the column Review Data from the dataframe  dt_cocoa  by grouping the records company–wise?

6. After checking the data summary, which feature requires a data conversion considering the data values held? a. Rating b. Review Date c. Company d. None of the above

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7 . What is the maximum average rating for the cocoa companies based out of Guatemala? a. 4 b. 3.5 c. 3.42 d. None of the above

8. Which pandas function is used to stack the dataframes vertically? a. pd.merge() b. pd.concat() c. join() d. None of the above

9. Of the following set of statements, which of them can be used to extract the column Direction as a separate dataframe? a. df_weather[[ ‘ Direction ‘ ]] b. df_weather.iloc[:,0] c. df_weather.loc[: . [ ‘Direction ‘]] d. None of the above

10. Which one of these students’ average score across all subjects was the lowest? Which subject has the highest average score across students? a. Harini, Maths b. Sathi, Maths c. Harini, Physics d. Rekha, Maths

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NPTEL Python for Data Science Assignment 3 Answers [Jan 2022]

Q1. Data from the file “brand_data.csv“ has to be loaded into a pandas dataframe. A snippet of the data is shown below:

What is the right instruction to read the file into a dataframe df_brand with 4 separate columns?

Answer:- (B), (C) & (D)

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Q2. For the same file above “brand_data.csv“ , which parameter in pd.read_csv will help to load dataframe df_brand with the selected columns as shown below?

(A) index_col  (B) skiprows  (C) usecols  (D) None of the above

Answer:- (C) usecols 

Q3. Data from the file “weather.xlsx“ has to be loaded into a pandas dataframe df_weather which when printed is as shown below:

Of the following set of statements which of them can be used to move the column “Direction” into a separate dataframe

Answer:- (A), (B), (C) & (D)

Q4. Referring to the same dataframe df_weather in Question (3), which statement/statements will help to print the last row from the dataframe?

Answer:- (B) & (D)

Q5. In reference to the same dataframe df_weather, we add an additional column ‘Hot_day’ to determine whether the day is hot or not based on the values in the Temperature column. What will the print statement derive?

(A) True  (B) SyntaxError  (C) False  (D) None of the above

Answer:- (C) False 

Q6. What statement would give the number of columns in a dataframe df?

(A) len(df.columns)  (B) len(df)  (C) df.size  (D) All of the above

Answer:- (A) len(df.columns) 

Q7. A file “Students.csv” contains the attendance and total scores of three separate students. This data is loaded into a dataframe df_study and a pandas crosstab is applied on the same dataframe which results in the following output

Which student scored the maximum average score of all three subjects? Which subject has the best average score for all three students?

(A) Harini,Chemistry  (B) Rekha,Physics  (C) Harini,Physics  (D) Rekha,Maths

Answer:- (D) Rekha,Maths

Q8. The following histogram shows the number of books read in a year:

Find the mean and median in the above histogram.

(A) 7,8  (B) 8,9  (C) 8.5,7  (D) 8,8  (E) None of the above

Answer:- (D) 8,8 

Q9. For the following box plot, which among the given options are the median and the outlier?

(A) 15, 52  (B) 22, 52  (C) 13.5, 29  (D) 25, 50

Answer:- (B) 22, 52 

Q10. A dataframe df_logs has the following data.

All the NaN / Null values in the column C1 can be replaced by zero value by executing which of the following statements?

(A) df_logs[‘C1’].fillna(0,inplace = True)  (B) df_logs.fillna(0,inplace = True)  (C) df_logs.fillna(0,inplace = False)  (D) df_logs[‘C1’].fillna(df_logs[‘B1’],inplace = True)

Answer:- (A) df_logs[‘C1’].fillna(0,inplace = True) 

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• AA Anonymous 4 years ago Surely, I suggest this course for all Beginners of Data science . Really it is most useful course for learning how Python can be used for data science applications. The contents covered in these lectures and leading to exercise solutions are very g… Read more Surely, I suggest this course for all Beginners of Data science . Really it is most useful course for learning how Python can be used for data science applications. The contents covered in these lectures and leading to exercise solutions are very good. The way of explanation of Numpy, Pandas are very very appreciable. As a Faculty with 17 years experience, I am very much impressed about their way of explanation of Numpy and Pandas. I used to listen in one window and practiced at the other window. It made me to impress about continuing the course without breaking. Regression and Classification concepts were also explained well, we were able to complete the assignment problems without any difficulty because of hands-on experience with case studies. Because of this course I got solutions for few assignment problems in the course "Practical Machine Learning using Tensor Flow" Really it's a very good course for beginners of Data Science. It would be more beneficial if it is 8-12 week course. Non-proctored examination pattern was also very good. It made us to sit for whole 3 hours with a challenge to complete the exam. Helpful
• Tanya Madaan 4 years ago I loved the content of the course and the training. The trainers were also good, was easy to understand the concepts and a good practical examples as well. Just one thing that I wanted to put forward, if that can be done.... It would be great if st… Read more I loved the content of the course and the training. The trainers were also good, was easy to understand the concepts and a good practical examples as well. Just one thing that I wanted to put forward, if that can be done.... It would be great if students are given few employment opportunities as well, after clearing the exam, atleast based on the merit. This can help students move forward in the right direction. You can also suggest students to pursue and clear few more trainings and courses, if those are required for the employment opportunity, like MYSQL/ Database knowledge might be a requirement with Data Science. Atleast students who are passionate and want to learn and move forward in the right direction, can be helped get the right job with the right set of skill sets. A better counselling and right opportunities are always required with the education/ training. Helpful
• AA Anonymous 4 years ago It was fun doing a Data Science course in a few weeks time because of no lengthy lectures and more hands-on. I would say its perfect for someone who knows 10% of related technologies. For newbies, it could be fun finding new terms and learning technology like Python and ML. I would definitely recommend this course for someone wish to start the career in this domain and have no prior expertise or experience. Helpful
• AA Anonymous 4 years ago For those who want to start their career in Data Science field this course is a good choice. Data science is vast field and this course is so well structured that it covers most of the topics in 4 week course. Online class was really good .Hands on exercise really helped a lot. Assignment section was really helpful to keep checking our learning.It would be more beneficial if this was more than 4 weeks course where more learning could happen in the field. Helpful
• AA Anonymous 4 years ago Review of this Course : 1. Content is Good and Clean and for beginners. 2. if you have good knowledge in python 3 then you will be able to score understand easily. 3. they will also provide soft copies of the content which will be helpful in quick recap or revision 4. they will show the hands-on implementation which will be helpful. Helpful
• AA Anonymous 4 years ago This is best course for the beginners who want to excel in Machine Learning. This course will start with the basics of python to level that is required for the Data Science . This is best course to excel your skills according to industry demand .The best part which I like was the expolatory data analysis. Helpful
• AA Anonymous 4 years ago This course is very useful for python and data science learners. Material is very informative and video lectures are given by scholars and professors too. It give more practical knowledge about using python for data analysis. Satisfied with this course and joined three new courses too. Thanks for providing so much deep learning about the python. Helpful
• AA Anonymous 4 years ago Good course for beginners in ML. Practical Implementation is taught well. The proctored exam needs to be altered a bit, should be structured to gauge the understanding of the candidate rather than knowledge. Other than that, this is an awesome short term course. I still refer the videos to boost my understanding. Helpful
• AA Anonymous 4 years ago This course was very good for me. I learned basic use of python and some project in data science. If this course cover all machine algorithm with implementation then it will be more beneficial for any of the students. Course duration should increase by algorithm of ml with implementation. Helpful
• Vinodhini G 4 years ago A perfect online guide for beginners in Python for Data Science. From Week 1 up to Week 4 , the entire course provided a gradual positive inclination in learners perspective. But felt that, the questions we faced in examination were a step ahead from what we learnt and solved in assignments. Helpful
• AA Anonymous 4 years ago The course "Python for Data Science " was extremely helpful. It gave us a thorough knowledge about using Python for Data Science. The video lectures were easy to understand and the assignments helped us to gauge our understanding. The course contained practical examples which helped us a lot. Helpful
• AA Anonymous 4 years ago the course definitely covered the brief introduction to python for data science but lacked details there were 3 teaching assistants for the course of 4 weeks which were too much i recommend to consider some other course of particularly 8 or 12 weeks since to cover lot of details . Helpful
• Megha 4 years ago The python for data science is a free online training for the engineering students. During the period of corona virus. This situation is very critical for college student. The study becomes destroy. This apportunity specially for those students who can't pay the online training fees. Helpful
• AA Anonymous 4 years ago The course is extremely well structured and balanced. Balanced mix of theory and practical. Suitable for both newcomers and senior practitioners of computer science and applications. All are recommended to take this course for smooth transition to Data Science career. Helpful
• AA Anonymous 4 years ago Excellent course content and delivery. Too good to work with Python environment for the area of data science specialisation. Had a great time and enjoyed learning this course. Case study sessions at the end of week was too good to cope up with practical. Helpful
• AA Anonymous 4 years ago Really a very good course. If you follow bit by bit of the case study given in the video, will really help your confidence building. I will more happy if couple of more case studies can be included (may be not in video, but at least as attachment). Helpful
• AA Anonymous 4 years ago The lecturer was pretty good in handling the course,overall it was a decent experience learning it,if you're someone who's looking forward to learn something related to python or data science this could be a perfect beginning to it. Helpful
• AA Anonymous 4 years ago very nice course in just 4 weeks. i like its non-proctored exam too, as it has considered a full application to cover all the contents covered in the course. it can be enhanced with more machine related contents and of 8 weeks. Helpful
• AA Anonymous 4 years ago appropriate syllabus for beginners. Good study material. Perfect delivery of video lessons. Explanation is good by all instructures. I learned so much about phython tools. I stood in top 5% in certification exam. Helpful
• AA Anonymous 4 years ago A good python course for data science having guidance of how to train the model of classification and regression. They have well taught that how we can improve the data for training and remove the impurities from it. Helpful

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Data Structures and Algorithms Using Python – an NPTEL(Swayam) Exam Experience

Hey Readers….!

Today I want to share my NPTEL exam experience.

Let’s start

Introduction to myself and the exam I took :

I am currently pursuing a Bachelor’s Degree from Sri Padmavati Mahila Visvavidyalayam, Tirupati. I wrote this NPTEL exam when I’m in my fourth semester.

NPTEL stands for National Programme on Technology Enhanced Learning – it is an online certification course for free and it is a project of MHRD initiated by seven Indian Institutes of Technology (Bombay, Delhi, Kanpur, Kharagpur, Madras, Guwahati and Roorkee) along with the Indian Institute of Science, Bangalore in 2003, to provide quality education to anyone interested in learning from the IITs. The goal was to create web and video courses in all major branches of engineering and physical sciences at the undergraduate and postgraduate levels and management courses at the postgraduate level. All courses are completely free to enroll and learn. But if we want certification which shows that we completed the course, we have to pay INR 1000, but this is optional i.e., it completely depends on us whether to write the exam or not. NPTEL provides various courses, among them I took Data Structures and Algorithms using Python.

Exam Pattern :

NPTEL courses are available in 4 weeks, 8weeks, 12weeks also. They provide their courses twice a year.

It consists of Assignments and one online proctored exam. for every week, there will be an assignment, after all the weeks candidate should attempt the online exam. If you select the 8week course they select 6 best assignment scores, or if you select the 12 week course they will select the 8 best assignment scores. Before attempting the online exam, candidates must get the minimum eligibility score from assignments.

The main online proctored exam pattern is as follows :

The exam would contain of total three sections (mostly MCQs) and 25% from assignments and 75% from online exam.

Section I – 2 marks Section II – 2 marks Section III – 2.5 marks or 3 marks Time limit – 3hrs

Preparation Phase :

Firstly I followed the video lectures provided by the NPTEL team, the video lectures are very helpful for me. The professors from IIT’S explained very well. As I have to go to college also, I myself dedicated particular time to prepare for this exam, I dedicated daily 2hrs to prepare for this exam. One thing here is, my seniors told that why you took this course this course is very hard, and I thought like it’s ok, let’s have a try 🙂 .And I started preparing.

Resources I Used:

To prepare for this exam not only listening to the lessons is enough, we must prepare the previous exams question papers also. I searched for some telegram channels which will post the previous exam questions. I started preparing from youtube also, for every week different topics are there, so we need to be updated with every week. I took the notes while following the lectures which helped me for the last minute revision. And also after completing every week they are providing doubts clarification section, from there we can clarify our doubts.

And also as we know that my exam is Data Structures and Algorithms using Python, so I started attempting some moct tests online on Data Structures and Algorithms. I boosted up myself in python also.

Study strategies I followed:

Actually the course I took is eight weeks course, actually I don’t know the importance of this exam, that’s why I didn’t attempted the first 2 weeks assignments. After that my teachers told that it is very important to pass this exam then only you will get credits, then I realised, so it become very complex for me, because I have to score the best in remaining six weeks. Mostly I practiced the assignment questions thoroughly, which helped me to pass the exam. what I want to tell is, just listen to the lectures, clarify your doubts and make your doubts clear and take notes for whatever you learn. Attempt the assignments properly, then you will get good score in assignments.

Taking mock tests helped me to get clarity on the topics.

My experience on the day of the exam :

My exam is in the morning session, and the exam centre is only 3km from my hostel, as I’m staying in the hostel, Me along with my friend went to the exam centre before 2hrs with aadhar card, college id, 2 pens. Actually after I woke up I was in doubt am I able to pass this exam or not, but at the same time, I felt like I prepared well so I can write it well. With that confidence I went to the exam centre.

After going to the exam centre, as usual some verification process like checking identity (either aadhar card or college id), and they had taken my signature and told my exam seating number. The fun fact here is even though it is 2 hrs completed, the exam was not started due to some technical issues, so we are all in relax mood, all our tensions were gone. Actually exam is 9AM to 12PM, but it is started at 11AM.

In that 2hrs I slept in the examination hall for 1hr (^.^) and I revised the concept in my brain for remaining 1hr. And the exam started and I wrote the exam well.

Mostly the questions came from the assignments, that’s why I was able to pass the exam. I attempted mostly all. And I myself kept 30 min to check my answers whether correct or not, so in that 30mins I checked all and completed my session. The fun fact here is except me all my co students gone from the examination hall for first 1hr itself. Only I present in the examination hall for complete 3 hrs. Because I want to utilise time given to me properly.

Challenges I faced during the exam and how I overcame them:

The one challenge that is the most common thing that some nervousness, and it is most common thing for me, but taking deep breath and sitting in a relaxed position can help me from relieving from this. I got some unseen questions during the exam, but I guessed some question by eliminating the irrelevant options.

Results day:

The results came after 3 weeks. And I passed the exam with 53%. It is not an easy task for me to pass in this exam, but I done with it.

Insights I have for future test-takers :

• Some of the insights that I can give to the future test takers are as follows :
• Complete the assignments on time
• Mostly questions come from assignments, so revise the assignments questions and do the model questions also
• Increase your speed of calculations
• Attend mock tests
• Prepare the notes for each topic
• Clarify your doubts in the doubt session

Finally, write your exam with confidence and prepare assignment questions well, and you can got better score than me.

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Reminder- NPTEL: Exam Registration is open now for July 2024 courses!

Dear Candidate,

Here is a golden opportunity for those who had previously enrolled in this course during the Jan 2024 semester, but could not participate in the exams or were absent/did not pass the exam for this course. This course is being reoffered in July 2024 and we are giving you another chance to write the exam in September 21, 2024 a nd obtain a certificate based on NPTEL norms. Do not let go of this unique opportunity to earn a certificate from the IITs/IISc.

IMPORTANT instructions for learners - Please read this carefully  

1. The exam date for this course: September 21, 2024

2. CLICK HERE to register for the exam.

Please fill the exam form using the same Enrolled email id & make fee payment via the form, as before.

3. Choose from the Cities where exam will be conducted: Exam Cities

4. You DO NOT have to re-enroll in the courses. 

5. You DO NOT have to resubmit Assignments OR participate in the non-proctored programming exams(if applicable) in the previous semester

6. If you do enroll in the July 2024 course, we will take the best average assignment scores/non-proctored programming exam(if applicable) score across the two semesters.

Please check once if you have >= 40/100  in average assignment score and also participated and satisfied the criteria in the non-proctored programming exams(if applicable) that were conducted in Jan 2024 to become eligible for the e-certificate, wherever applicable.

If not, please submit assignments again in the July 2024 course and also participate in the non-proctored programming exams(if applicable) to become eligible for the e-certificate.

We will not be having new assignments or unproctored exams(if applicable) in the previous semester's (Jan 2024) course. 

RECOMMENDATION: If you want to take new assignments and an unproctored exam(if applicable) or brush up on your lessons for the exam, please enroll in the July 2024 course.

Click here to enroll in the current course, links are provided corresponding to the course name.

7. Exam fees: 

If you register for the exam and pay before August 12, 2024 - 5:00 PM, Exam fees will be Rs. 1000/- per exam .

8. 50% fee waiver for the following categories: 

Students belonging to the SC/ST category: please select Yes for the SC/ST option and upload the correct Community certificate.

Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate. 

9. Last date for exam registration: August 16, 2024 - 5:00 PM (Friday). 

10. Between August 12, 2024 - 5:00 PM & August 16, 2024 - 5:00 PM late fee will be applicable.

11. Mode of payment: Online payment - debit card/credit card/net banking/UPI. 

12. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date. We will confirm the same through an announcement once it is published. 

13. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

14. Data changes: 

Last date for data changes: August 16, 2024 - 5:00 PM :  

We will charge an additional fee of Rs. 200 each to make any changes related to name, DOB, photo, signature, SC/ST and PWD certificates after the last date of data changes.

The following 6 fields can be changed (until the form closes) ONLY when there are NO courses in the course cart. And you will be able to edit those fields only if you: - 

REMOVE unpaid courses from the cart And/or - CANCEL paid courses 

1. Do you come under the SC/ST category? * 

2. SC/ST Proof 

3. Are you a person with disabilities? * 

4. Are you a person with disabilities above 40%? 

5. Disabilities Proof 

6. What is your role? 

Note: Once you remove or cancel a course, you will be able to edit these fields immediately. 

But, for canceled courses, refund of fees will be initiated only after 2 weeks. 

15. LAST DATE FOR CANCELING EXAMS and getting a refund: August 16, 2024 - 5:00 PM  

16. Click here to view Timeline and Guideline : Guideline

Domain Certification

Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job ready or specialising in an area of study.  

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain: https://nptel.ac.in/domains

Outside India Candidates

Candidates who are residing outside India may also fill the exam form and pay the fees. Mode of exam and other details will be communicated to you separately.

Thanks & Regards, 

NPTEL: Exam Registration is open now for July 2024 courses!

Thank you for learning with nptel.

Dear Learner, Thank you for taking the course with NPTEL!! Hope you enjoyed the journey with us. The results for this course have been published and we are closing this course now.  You will still have access to the contents and assignments of this course, if you click on the course name from the "Mycourses" tab on swayam.gov.in. For any further queries please write to [email protected] . - Team NPTEL

Python for Data Science : Result Published!!

• Log in to your account and navigate to the "Download E-certificate" section.
• Next to "Download E-certificate," you'll find another tab labeled "Share your experience." Click on it.
• Answer the provided questions about your experience.
• Optionally, you can add your picture or skip this step.
• An AI-assisted post will be generated for you. You can share this post on your social media platforms.

Python for Data Science : Final Feedback Form !!!

Dear students, We are glad that you have attended the NPTEL online certification course. We hope you found the NPTEL Online course useful and have started using NPTEL extensively. In this regard, we would like to have feedback from you regarding our course and whether there are any improvements, you would like to suggest.   We are enclosing an online feedback form and would request you to spare some of your valuable time to input your observations. Your esteemed input will help us in serving you better. The link to give your feedback is: https://docs.google.com/forms/d/1WtZsDKHnfaYr8oGHL1Jqld7ydBJTnwCwRWezAXFJl50/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

March 2024 NPTEL Exams - Hall Tickets Released!

Exam Format - March, 2024!!

Dear Candidate, ****This is applicable only for the exam registered candidates**** Type of exam will be available in the list: Click Here You will have to appear at the allotted exam center and produce your Hall ticket and Government Photo Identification Card (Example: Driving License, Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person.  You can find the final allotted exam center details in the hall ticket. The hall ticket is yet to be released.  We will notify the same through email and SMS. Type of exam: Computer based exam (Please check in the above list corresponding to your course name) The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay-type answers, etc. Type of exam: Paper and pen Exam  (Please check in the above list corresponding to your course name) The questions will be on the computer. You will have to write your answers on sheets of paper and submit the answer sheets. Papers will be sent to the faculty for evaluation. On-Screen Calculator Demo Link: Kindly use the below link to get an idea of how the On-screen calculator will work during the exam. https://tcsion.com/ OnlineAssessment/ ScientificCalculator/ Calculator.html NOTE: Physical calculators are not allowed inside the exam hall. Thank you! -NPTEL Team

Python for Data Science : Solution for Assignment 4 released !!

Dear Learner, The Solution for Assignment 4 have been uploaded for the course "Python for Data Science". The solution set can be accessed using the following link: Assignment 4 solution:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=56&lesson=140 Please use the discussion forum if you have any queries. Thanks & Regards, NPTEL Team.

Reminder: NPTEL: Exam Registration is date is extended for Jan 2024 courses!

Dear Learner,  The exam registration for the Jan 2024 NPTEL course certification exam is extended till February 20, 2024 - 05.00 P.M . CLICK HERE to register for the exam Choose from the Cities where exam will be conducted: Exam Cities Click here to view Timeline and Guideline : Guideline For further details on registration process please refer the previous announcement in the course page. -NPTEL Team

Python for Data Science : Solution for Assignment 3 released !!

Dear Learner, The Solution for Assignment 3 have been uploaded for the course "Python for Data Science". The solution set can be accessed using the following link: Assignment 3 solution:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=41&lesson=125 Please use the discussion forum if you have any queries. Thanks & Regards, NPTEL Team.

Week 4 Feedback Form: Python for Data Science!!

Dear Learners, Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:    https://docs.google.com/forms/d/1y81yHE1ipGTZiTk55_JHWnV2ByKbEB3foyHcpzE7diY/viewform Thank you -NPTEL team

Python for Data Science : Week 4 Supplementary Materials!!

Dear Learners, Please go through the lectures in "Supplementary material for week 4",  as there will be questions asked in the assignment for week 4 as well as in the final exam. Have fun learning. Thanks & Regards NPTEL team

Python for Data Science : Solution for Assignment 1&2 released !!

Dear Learner, The Solution for Assignment 1&2 have been uploaded for the course "Python for Data Science". The solution set can be accessed using the following link: Assignment 1 solution:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=18&lesson=123 Assignment 2 solution:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=30&lesson=124 Please use the discussion forum if you have any queries. Thanks & Regards, NPTEL Team.

Python for Data Science : Assignment 4 is live now!!

Dear Learners, The lecture videos for Week 4  have been uploaded for the course "Python for Data Science" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=56&lesson=57 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-4  for Week-4  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=56&assessment=134 Assignment-4  for Week-4  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=56&assessment=139 The assignment has to be submitted on or before Wednesday,[21/02/2024], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Week 3 Feedback Form: Python for Data Science!!

Python for data science: reminder for assignment 1 & 2 deadline.

Dear Learners, The Deadline for Assignments 1 & 2 will close on Wednesday,[07/02/2024], 23:59 IST. Kindly submit the assignments before the deadline. Thanks and Regards, -NPTEL Team

Python for Data Science : Assignment 3 is live now!!

Dear Learners, The lecture videos for Week 3 have been uploaded for the course "Python for Data Science" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=41&lesson=42 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-3  for Week-3  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=41&assessment=133 Assignment-3  for Week-3  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=41&assessment=137 The assignment has to be submitted on or before Wednesday,[14/02/2024], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Week 2 Feedback Form: Python for Data Science!!

Reminder: nptel: exam registration is open now for jan 2024 courses.

Dear Learner, 

Here is the much-awaited announcement on registering for the Jan 2024 NPTEL course certification exam. 

1. The registration for the certification exam is open only to those learners who have enrolled in the course. 

2. If you want to register for the exam for this course, login here using the same email id which you had used to enroll to the course in Swayam portal. Please note that Assignments submitted through the exam registered email id ALONE will be taken into consideration towards final consolidated score & certification. 

3 . Date of exam: Mar 24, 2024 

CLICK HERE to register for the exam.

Choose from the Cities where exam will be conducted: Exam Cities

4. Exam fees: 

If you register for the exam and pay before Feb 12, 2024 - 5:00 PM, Exam fees will be Rs. 1000/- per exam .

5. 50% fee waiver for the following categories: 

6. Last date for exam registration: Feb 16, 2024 - 5:00 PM (Friday). 

7. Between Feb 12, 2024 - 5:00 PM & Feb 16, 2024 - 5:00 PM late fee will be applicable.

8. Mode of payment: Online payment - debit card/credit card/net banking/UPI. 

9. HALL TICKET: 

10. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

11. Data changes: 

Last date for data changes: Feb 16, 2024 - 5:00 PM :  

We will charge an additional fee of Rs. 200 to make any changes related to name, DOB, photo, signature, SC/ST and PWD certificates after the last date of data changes.

But, for cancelled courses, refund of fees will be initiated only after 2 weeks. 

12. LAST DATE FOR CANCELLING EXAMS and getting a refund: Feb 16, 2024 - 5:00 PM  

13. Click here to view Timeline and Guideline : Guideline

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses as per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain: https://nptel.ac.in/domains

Python for Data Science : Assignment 2 is live now!!

Dear Learners, The lecture videos for Week 2 have been uploaded for the course "Python for Data Science" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=30&lesson=31 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=30&assessment=132 Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=30&assessment=136 The assignment has to be submitted on or before Wednesday,[07/02/2024], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Week 1 Feedback Form: Python for Data Science!!

Python for data science : assignment 1 is live now.

Dear Learners, The lecture videos for Week 1 have been uploaded for the course "Python for Data Science" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=18&lesson=19 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=18&assessment=131 Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=18&assessment=135 The assignment has to be submitted on or before Wednesday,[07/02/2024], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Python for Data Science : Assignment 0 is live now!!

Dear Learners, We welcome you all to this course "Python for Data Science" . The assignment 0 has been released. This assignment is based on a prerequisite of the course. You can find the assignment in the link :  https://onlinecourses.nptel.ac.in/noc24_cs54/unit?unit=16&assessment=130 Please note that this assignment is for practice and it will not be graded. Thanks & Regards   -NPTEL Team

NPTEL: Exam Registration is open now for Jan 2024 courses!

Python for data science: welcome to nptel online course - jan 2024.

• Every week, about 2.5 to 4 hours of videos containing content by the Course instructor will be released along with an assignment based on this. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning and doing well in the course. This will be done week on week through the duration of the course.
• Please do the assignments yourself and even if you take help, kindly try to learn from it. These assignments will help you prepare for the final exams. Plagiarism and violating the Honor Code will be taken very seriously if detected during the submission of assignments.
• The announcement group - will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets, etc.
• The discussion forum (Ask a question tab on the portal) - is for everyone to ask questions and interact. Anyone who knows the answers can reply to anyone's post and the course instructor/TA will also respond to your queries.
• Please make maximum use of this feature as this will help you learn much better.
• If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
• The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
• The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
• Date and Time of Exams: March 24, 2024 Morning session 9am to 12 noon; Afternoon Session 2 pm to 5 pm.
• Registration URL: Announcements will be made when the registration form is open for registrations.
• The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
• Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.
• Once again, thanks for your interest in our online courses and certification. Happy learning.

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Course Status :	Ongoing
Course Type :	Elective
Duration :	12 weeks
Category :
Credit Points :	4
Undergraduate/Postgraduate
Start Date :	22 Jul 2024
End Date :	11 Oct 2024
Enrollment Ends :	05 Aug 2024
Exam Registration Ends :	16 Aug 2024
Exam Date :	25 Oct 2024 IST
ALERT ON EXAM DATE :	Exam date is subject to change.